def thread_test():
streamer = ble2lsl.Streamer(muse2016)
info = getStream_info(muse2016)
#runFunc(functions.fft, argsToRun={'input_stream':info, 'output_stream_name':'test'})
runFunc(functionToRun=functions.plotTimeDomain,
argsToRun={
'stream_info': info,
'channels': 2,
'timewin': 15
})
streamer.stop()
def connect_muse():
'''
connects to any available muse headset.
returns ble2lsl.ble2lsl.Streamer object.
'''
try:
import ble2lsl
from ble2lsl.devices import muse2016
except ImportError:
raise ImportError("ble2lsl is not installed. \n"
"ble2lsl is used to connect to muse devices.\n"
"you can install it using `pip install ble2lsl`")
return ble2lsl.Streamer(muse2016)
import ble2lsl from ble2lsl.devices import muse2016 from wizardhat import acquire, transform import numpy as np import matplotlib.pyplot as plt streamer = ble2lsl.Streamer(muse2016) streamer.subscriptions receiver = acquire.Receiver() receiver.buffers receiver.ch_names receiver.buffers['EEG'].data receiver.buffers['EEG'].data.shape receiver.buffers['EEG'].unstructured receiver.buffers['EEG'].get_timestamps() our_first_recording = receiver.record(10) our_first_recording.buffers['EEG'].data raw = receiver.buffers['EEG'].data[-channel_to_view][-samples_to_view:] time_raw = receiver.buffers['EEG'].data['time'][-samples_to_view:]
args = parser.parse_args()
""" 1. CONNECT TO EEG STREAM """
streamChoice = int(input("1: Dummy Source\n2: Connect to a Muse\n"))
print(type(streamChoice))
# Choice to test with dummy stream
if streamChoice == 1:
print("Initializing Dummy stream\n")
device = muse2016
dummy_outlet = ble2lsl.Dummy(device)
# Choice to connect muse
else:
device = muse2016
print('Looking for an EEG stream...')
outlet = ble2lsl.Streamer(device)
time.sleep(0.25)
# Search for active LSL stream
streams = resolve_byprop('type', 'EEG', timeout=2)
if len(streams) == 0:
raise RuntimeError('Can\'t find EEG stream.')
# Set active EEG stream to inlet and apply time correction
print(
"Start acquiring data. Have your eyes open and don't move!\n\(• ◡ •)/\n"
)
inlet = StreamInlet(streams[0], max_chunklen=12)
eeg_time_correction = inlet.time_correction()
# Get the stream info, description, sampling frequency, number of channels
def fft_test(
): #dont need a thread as the threading is in the backend (of course)
stream = ble2lsl.Streamer(muse2016)
info_ = getStream_info(muse2016)
functions.fft(info_, output_stream_name='test_stream')
"""Plot time series data streamed through a dummy LSL outlet.
"""
import ble2lsl
from ble2lsl.devices import muse2016, ganglion
from wizardhat import acquire, plot
import pylsl as lsl
device = muse2016
plot_stream = 'EEG'
if __name__ == '__main__':
streamer = ble2lsl.Streamer(device)
receiver = acquire.Receiver()
plot.Lines(receiver.buffers[plot_stream])